VMX will come with a set of pre-trained models. While the fun part of using VMX is training your own specialized detectors, we understand that that are scenarios where you want access to a library of pre-existing object detectors. You'll be able to modify those detectors and customize them for your own use (such as taking a generic face detector and making it better by giving it examples of your own face). If there is an object you utterly love and really want a pre-trained version in VMX, just send us a message. We already have cats under control.

Just imagine cat lovers using VMX to detect their cats intention during the day or ... the possibilities look endless.

The 7th Parisian Machine Learning Meetup was initally held with a Machine Vision theme with: VMX , Atheer One,VLAD and What does it take to win the Kaggle/Yandex competition? even though the latter presentation was an impromptu one. It took place on Wednesday January 15th, 2014 at DojoEvents. Here is the video of the Meetup. The program and attendant presentations:

I noted that the VMX project could handle local computation with about 20 objects requiring a good computer. For Atheer, I think the issue of battery is set aside as the glass seem to be aiming for a crowd next to a power plug. Kenji told us that the winning entry was based on LambdaMART beating out another of their Random Forest implementation. Patrick also mentioned a series of photos reconstructed from descriptors. That series is on Herve Jegou's page. While Patrick pointed out it was information leakage, most folks in the crowd were simply wowed.